High-Resolution District Level Contraceptive Prevalence in Pakistan Using a Bayesian Small Area Estimation Approach
This study employs a two-stage Bayesian small area estimation framework that integrates routine commodity data, census figures, and national survey benchmarks to generate high-resolution, statistically robust district-level estimates of contraceptive prevalence in Pakistan, thereby addressing data gaps and enabling more targeted family planning interventions.